ACL-IMDB movie-review sentiment
IMDB Movie Reviews (ACL) is a public corpus of 50,000 movie reviews scraped from IMDB, labeled positive or negative sentiment. The sampled texts from the corpus predominantly explore a variety of themes related to film critique , character development , and storytelling quality . Many reviews express strong opinions about the acting performances and directorial choices , often highlighting the disparity between expectations and the final product. Common sentiments include disappointment with sequels or remakes that fail to capture the essence of their predecessors, as well as frustration with clichéd plots and predictable narratives. Additionally, there are discussions surrounding the emotional impact of films, particularly those that tackle serious themes such as family dynamics and social issues , revealing a spectrum of viewer reactions from admiration to outright disdain. Overall, the texts reflect a rich tapestry of personal experiences and critical assessments that engage with the cinematic landscape. [Summary on 50 random texts by ChatGPT 4o Mini].
Reported holdout systems from the verified card
Binary classification uses FVE as the task-primary metric. Secondary columns keep the companion metrics visible so binary, ordinal, regression, and multiclass cards are not compared through one flattened score.
Best PsyProxy row is #2 overall among all model families on this card.

